Table 6.

Performance of the proposed deep learning framework with different classification thresholds. 3D ResNet was adopted as the feature extractor.

Threshold	Sensitivity	Specificity	Precision	F1-score
0.5	96.79	43.48	88.34	92.34
0.6	94.57	54.35	90.17	92.26
0.7	88.64	67.39	92.31	90.37